
Check data in Python and Excel
As data arrives, trace any sudden forecast jump back through its inputs and math before handing it on.
Career profile
Quantitative analysts build math-based models that help price investments and measure financial risk.
How much could a portfolio lose? You take a money question such as this and turn it into calculations others can check and use.


As data arrives, trace any sudden forecast jump back through its inputs and math before handing it on.

In investment research jobs, you code a math-based rule and test it against past market data.

Change assumptions like interest rates, rework the losses, and tell risk managers which change drove the result.

When errors persist, look into whether to change the model and note where its output needs caution.
United States
Compare salaries for the specific modeling role and location.
Opportunities depend on the specialty and employer.
Quick orientation
Some graduate roles accept a bachelor's degree; many quantitative jobs expect a master's.
Compare salaries for the specific modeling role and location.
Opportunities depend on the specialty and employer.
Scripts can prepare data, run forecasts, and check outputs automatically, reducing repeated manual steps.
People choose what the model should answer, judge its assumptions, and decide whether its limitations matter for the intended use.
How much more testing can be automated depends on whether tools remain reliable as data and model uses change.
Pay in context
The ranges below describe two specific jobs, not typical pay or an industry-wide comparison. Base salary and discretionary incentives are separate.
Bank of America lists $89,800–$155,000 annually for a New Jersey quantitative finance analyst role, with discretionary incentive eligibility. Offers depend on experience, education, and skills.
Citadel lists $235,000–$300,000 in annual base salary for its university-graduate quantitative research analyst role in New York, Miami, or Greenwich, plus discretionary incentive eligibility. This is not a general starting-pay range.
Build strong mathematics, programming, and research skills. Employers differ in how much education and experience they expect.
After entry
This starts where the entry routes leave off: early work, growing capability, and advancement or specialization.
Learn the team's data and model workflow. Become dependable at checking inputs, reproducing results, and documenting problems.
Take a model change through testing. Explain why you chose its assumptions and what evidence would make you revise them.
Deepen expertise in loss forecasting or investment valuation, then take on broader model responsibilities or mentor other analysts.
Monthly and quarterly forecast cycles shape the work. You coordinate with model developers and technology colleagues to keep calculations and reporting dependable.
Your models feed investment strategies and live trading. Research, coding, and repeated tests happen in a fast-paced team environment.
Try it
In a spreadsheet, invent 100 loans of $1,000 each. Estimate losses if 2, 5, or 10 borrowers repay nothing. Then let each repay half. Write which assumption changed losses most and why. Notice whether you enjoy questioning the assumptions as much as calculating the answer.
Stay safe: Use fictional numbers only; this simplified exercise is not a lending or investment model.